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» Algorithmics in Exponential Time
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NCA
2008
IEEE
15 years 7 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
234
Voted
ALGORITHMICA
2010
137views more  ALGORITHMICA 2010»
15 years 5 months ago
Deciding k-Colorability of P5-Free Graphs in Polynomial Time
The problem of computing the chromatic number of a P5-free graph (a graph which contains no path on 5 vertices as an induced subgraph) is known to be NP-hard. However, we show tha...
Chính T. Hoàng, Marcin Kaminski, Vad...
SODA
2012
ACM
205views Algorithms» more  SODA 2012»
13 years 10 months ago
Global minimum cuts in surface embedded graphs
We give a deterministic algorithm to find the minimum cut in a surface-embedded graph in near-linear time. Given an undirected graph embedded on an orientable surface of genus g,...
Jeff Erickson, Kyle Fox, Amir Nayyeri
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
16 years 28 days ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
STOC
2000
ACM
156views Algorithms» more  STOC 2000»
15 years 12 months ago
Near optimal multiple alignment within a band in polynomial time
Multiple sequence alignment is a fundamental problem in computational biology. Because of its notorious difficulties, aligning sequences within a constant band (c-diagonal) is a ...
Ming Li, Bin Ma, Lusheng Wang